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Sari Atmini; Ruzita Jusoh; Arum Prastiwi; Setyo Tri Wahyudi; Kurniasari Novi Hardanti; Nadafajar Nurmani'ah Widiarti – Cogent Education, 2024
This research investigates the factors influencing plagiarism from the perspective of the fraud diamond framework. It aims to obtain empirical evidence that higher pressure, opportunity, rationalization, and competencies influence an increase in plagiarism. Currently, information technology has rapidly advanced, and artificial intelligence has…
Descriptors: Plagiarism, Accounting, Deception, Guidelines
Donnie Adams; Kee-Man Chuah; Edward Devadason; Muhammad Shamshinor Abdul Azzis – Education and Information Technologies, 2024
The emergence of chatbots and language models, such as ChatGPT has the potential to aid university students' learning experiences. However, despite its potential, ChatGPT is relatively new. There are limited studies that have investigated its usage readiness, and perceived usefulness among students for academic purposes. This study investigated…
Descriptors: Foreign Countries, College Students, Student Behavior, Help Seeking
Neo, Mai – Turkish Online Journal of Distance Education, 2022
The COVID-19 pandemic has accelerated the educational landscape of institutions of higher education, which were predominantly face-to-face. In Malaysia, many universities converted their courses into online courses to keep up with the challenges of working from home during the pandemic, using web technologies and blended learning approaches.…
Descriptors: Foreign Countries, Student Attitudes, Artificial Intelligence, Computer Mediated Communication
Baragash, Reem Sulaiman; Aldowah, Hanan; Umar, Irfan Naufal – Journal of Information Technology Education: Research, 2022
Aim/Purpose: To gain insight into the opinions and reviews of Malaysian university students regarding e-learning systems, thereby improving the quality and services of these systems and resolving any problems, concerns, and issues that may exist within the institution. Background: This exploratory study examines the students' perceptions of…
Descriptors: College Students, Student Attitudes, Electronic Learning, Artificial Intelligence